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    Introduction

    Introduction

    Forests provide renewable raw material;

    and energy, maintain biological diversity,mitigate climate change, protect land andwater resources, provide recreation facilities,improve air quality and help alleviate poverty.At the same time forests are affected by fire,grazing, pest and invasive species and are alsothe primary targets for agricultural and urbanexpansion.

    The forest wealth in our country isextremely diverse as a result of the hugevariation in the topography of the country. Due

    to the impact of biotic pressure on our forests,many forest areas spread across the country hasbeen depleted and degraded which is a seriousconcern.

    The role of Indias forests in the nationaleconomy and in ecology was further emphasizedin the 1988 National Forest Policy, whichfocussed on ensuring environmental stability,restoring the ecological balance, and preservingthe remaining forests. Other objectives of thepolicy were meeting the need for fuel wood,

    fodder and small timber for rural and tribalpeople while recognising the need to activelyinvolve local people in the management offorest resources. A new target was to increasethe forest cover to 33 percent of Indias landarea. While adequate protection andafforestation activities has contributed to theincrease in the extent and quality of forestcover in some parts of the country, it isextremely important that the spatialdistribution of the changes in forest cover and

    growing stock be monitored on a regular basisfor effective planning. It is imperative for thispurpose to conduct regular assessment of forestcover.

    Forest Survey of India (FSI), is a premiernational organization for forest resourceassessment working under the Ministry ofEnvironment and Forests, Government of India.Besides, carrying out forest and tree cover

    assessment, Forest Survey of India is alsoengaged in providing the services of training,research and extension. Established on June 1,

    1981, the Forest Survey of India succeeded the"Preinvestment Survey of Forest Resources"(PISFR), a project initiated in 1965 byGovernment of India with the sponsorship ofFAO and UNDP. The main objective of PISFR wasto ascertain the availability of raw material forestablishment of wood based industries inselected areas of the country. In its report in1976, the National Commission on Agriculture(NCA) recommended the creation of a NationaForest Survey Organization for collection of data

    on scientific lines through countrywidecomprehensive forest resources survey atregular intervals. Consequently, PISFR wasreorganized into FSI in June 1981. After acritical review of activities undertaken by FSI,Government of India redefined the mandate ofFSI in 1986 in order to make it more relevant tothe rapidly changing needs and aspirations ofthe country. The main objectives of FSI are asfollows:

    Objectives of FSI To prepare State of Forest Report

    biennially, providing assessment of latestforest cover in the country andmonitoring changes in these.

    To prepare thematic maps on 1:50,000scale, using aerial photographs.

    To function as a nodal agency forcollection, compilation, storage anddissemination of spatial database on

    forest resources.

    To conduct training of forestry personnein application of technologies related toresources survey, remote sensing, GIS,etc.

    To strengthen research & developmentinfrastructure in FSI and to conduct

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    research on applied forest surveytechniques.

    To support State/UT Forest Departments(SFD) in forest resources survey, mappingand inventory.

    To undertake forestry related specialstudies/consultancies and custom madetraining courses for SFDs and otherorganisations on project basis.

    Major activitiesThe major activities of FSI are:a. Forest Cover Assessmentb. Inventory of Forest areasc. Inventory of Trees Outside Forests (Rural

    & Urban categories)d. Inventory data processinge. Methodology Design

    f. Training and Extensiong. Projects and Consultancies

    Organizational Set-up.The Forest Survey of India is

    headquartered at Dehradun and has four zonal

    offices located at Shimla, Kolkata, Nagpur andBangalore. The Forest Survey of India is headedby a Director General who is assisted by twoJoint Directors at headquarters who are lookingafter the National Forest Data ManagementCentre (NFDMC) and the Training & ForestInventory (TFI) units. Each zonal office isheaded by a Regional Director. The locations ofthe headquarters along with zonal offices isdepicted in Fig.1.1.The Headquarters as well asthe Zonal offices work in close coordination to

    carry out the various activities of FSI.

    Table 1- Jurisdiction of the Zonal Offices

    Sl.No.

    Name of the Zone Jurisdiction

    States Union Territories

    1. Northern Zone,Shimla

    Jammu & Kashmir,Himachal Pradesh, Uttar

    Pradesh, Uttaranchal,Haryana, Punjab, Rajasthan& Delhi.

    Chandigarh

    2. Eastern Zone,Kolkata

    Bihar, Jharkhand, WestBengal, Sikkim, Meghalaya,Tripura, Manipur, Nagaland,Assam, Mizoram, ArunachalPradesh & Orissa.

    Andaman & NicobarIslands.

    3. Central Zone,Nagpur

    Madhya Pradesh,Chhattisgarh, Maharashtra,Gujarat & Goa.

    Daman & Diu.Dadara and NagarHaveli

    4. Southern Zone,Bangalore

    Andhra Pradesh, KarnatakaKerala and Tamil Nadu.

    Lakshadweep,Pondicherry

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    Forest Cover Assessment

    Forest Survey of India (FSI) assesses forestcover of the country by interpretation of remotesensing satellite data and publishes the results ina biennial report called State of Forest Report

    (SFR). Beginning in 1987, nine SFRs have beenbrought out so far. Starting with data of USRemote Sensing Satellite Landsat for SFR 1987,FSI shifted over to the use of data of theindigenous satellite Indian Remote Sensing (IRS)LISS III sensor since 1995 till 2003. In the currentcycle (i.e. for SFR 2005) FSI is using satellite datafor IRS P6 Resourcesat LISS III. The technologicaladvancement in scale of interpretation,resolution of sensor, mode of interpretation anddata freshness is indicated in table no. 3.

    The scale of interpretation has improvedfrom 1:1 million (SFR 1987) to 1:50,000 bringingdown the minimum mappable area to 1 ha. from400 ha. The spatial resolution of the sensor hascome down from the course resolution of 80 m x80 m to a fine resolution of 23.5 m x 23.5 m.This improvement of scale of interpretation andsensor resolution on one hand means increasedcapability of FSI in delineating smaller andsmaller areas of forests (and blanks inside

    forests) and consequently on the other hand, amultiplication of work load for the technicalpersonnel of FSI. Starting with 363 Survey ofIndia toposheets of 1:250,000 scale to nearly5,200 SOI toposheets of 1:50,000 scale; the forestcover assessment exercise has become a hugetask in terms of resources, man hours, and time.However, shift from visual interpretation ofsatellite imagery in hard copy to the digitalinterpretation of satellite data in soft copy hasmade this possible.

    These days the satellite data for the forestcover assessment is obtained in digital form fromthe National Remote Sensing Agency (NRSA) thesole authorized Govt. agency in India todownload and disseminate the satellite data. Forthe tenth forest cover assessment, in the year2005-06, 68 scenes of Resourcesat1 (IRS-P6) LISSIII data of resolution 23.5 m x 23.5 m were

    acquired. Besides some scenes of LISS IV (multi spectral) of the same satellite were acquired for selected areas which are to be uas proxy for ground verification in such ar

    which are inaccessible or extremist prone.

    The satellite scenes are interpreted inby a group of about 30 technical staff usDigital Image Processing (DIP) software. Digdata from satellite is downloaded from CDs othe Workstation and radiometric and contcorrections are applied for removing radiomedefects and for improving visual impact of False Colour Composites (FCC). Geomerectification of the data is carried out with

    help of scanned SOI toposheets. Based on tand texture the forest cover areas delineated. Interpretation of forest cover for whole country is done at 1:50,000 scale uspolyconic projection. Normalized DiffereVegetation Index (NDVI) transformation is aused for density classification of forest covAreas of less than one hectare, whether classias forest within non-forest areas or blanks witforested areas, are excluded by clustering pixand merged with the surrounding class.

    methodology has been shown schematically in figure 3.The details of satellite data procured f

    NRSA during 2005-06 is given below in table 2.Table 2 - Details of Satellite data procured from NRSA

    1. SFR-10th cycle

    Resourcesat-1 IRS-P6 LISS III, Resolution 23.5

    Date No. of Scenes Rate

    25.04.05 45 20000 each25.05.06 01 20000 each09.08.05 21 20000 each

    17.11.05 01 20000 eachTotal Sheets 68 13,60,000

    2. High Resolution Data for Delhi area

    Resourcesat-1 IRS-P6 LISS IV, MX, Multispect

    Date No. of Scenes Rate

    24.04.06 4 42,750Total Sheets 4 42,750

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    Table 3 : Satellite Data for Forest Cover Assessments from 1987 to 2003

    Assessmentand Year

    Data Period Sensor Data Form SpatialResolution

    SpectralResolution

    ScaleInterpre

    I 1987 1981-83 Landsat MSS Hard Copy FCC 80 m 4 Bands 1:1mil

    II 1989 1985-87 Landsat TM Hard Copy FCC 30 m 7 Bands 1:250,

    III 1991 1987-89 Landsat TM Hard Copy FCC 30 m 7 Bands 1:250,

    IV 1993 1989-91 Landsat TM Hard Copy FCC 30 m 7 Bands 1:250,

    V 1995 1991-93 IRS-1B LISS II Hard Copy FCC & Digital* 36.25 m 4 Bands 1:250,

    VI 1997 1993-95 IRS-1B LISS II Hard Copy FCC & Digital* 36.25 m 4 Bands 1:250,

    VII 1999 1996-98 IRS-1C/1D LISS III Hard Copy FCC & Digital** 23.5 m 4 Bands 1:250,

    VIII 2001 2000 IRS-1C/1D LISS III Digital 23.5 m 4 Bands 1:50,0

    IX 2003 2002 IRS-1D LISS III Digital 23.5 m 4 Bands 1:50,0

    * Digital data used for two states** Digital data used for 14 states

    Figure 3: Flow Chart Showing Methodology of Forest Cover Mapping

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    The total forest cover of the country as per State of Forest Report 2003 is 678,333 km, whconstitutes 20.64 percent of the geographic area of the country. Of this, 51,285 km (1.56%) is vdense forest, 339,279 km (10.32%) is moderately dense forest and 287,769 km (8.76%) is open focover. The mangrove area in the country is 4461 km2 (0.14%) of the countrys geographic area. Tnon-forest cover excludes scrub and is estimated to cover an area of 2,568,661 (78.13%) km.

    status of forest cover in India as per State of Forest Report 2003 is indicated in Table 4 and depictepie chart in fig 4. The forest cover map of India is given in fig 5.

    Table 4: Status of Forest Cover in India Fig 4 : Status of Forest Cover in India(As per SFR 2003) (As per SFR 2003)

    Class Area (km) Percent ofGeographicArea

    Forest Cover

    a) VDF 51,285 1.56

    b) MDF 339,279 10.32

    c) Open 287,769 8.76Total Forest Cover* 678,333 20.64

    Non-forest Cover

    Scrub 40,269 1.23

    Non-forest** 2,568,661 78.13

    Total Geographic Area 3,287,263 100.00

    * Including 4,461 km2 under mangroves (0.14% of countrysgeographic area)

    ** Excludes scrubs and includes water bodies

    A comparison between the forest cover since 1987 onwards till 2003 is depicted in Tablbelow. Although it is improper to make a comparison in different assessments due to changetechnology and scale of interpretation, however, it may still be observed that the forest cover of country has remained between 19.5% to 20.5% in the last two decades.

    Table 5 : Forest Cover in Different Assessments (1987 to 2003) (Area in km2)

    Year ofAssessment

    1987 1989 1991 1993 1995 1997 1999 2001 2003

    Forest Cover inIndia 640,819 638,804 639,364 639,386 638,879 633,397 637,293 675,538 678,333

    Percent 19.49 19.43 19.45 19.45 19.43 19.27 19.39 20.55 20.64

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    Fig 5. Forest Cover Map of India

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    Thematic Mapping

    Another important mandate of FSI is to preparethematic maps based on interpretation of aerialphotographs acquired from Survey of India.

    The forest types in 48 categories and 14non-forest categories of land uses are depicted inthese thematic maps, at 1:50,000 scale. A lot ofinformation of the forest types, major speciescomposition, crown density of forest cover andother land use classes is obtained with the helpof thematic maps.

    The aerial photographs are procured fromSurvey of India after following the routineprocedure and are interpreted using stereoscope.

    Since there is considerable overlap in thesuccessive photographs, therefore stereoscopeviewing produces three dimensional images withthe help of which various land use classes areidentified and delineated. These maps areindented by State Forest Departments, Railways,Engineering Departments, Educational Institutes

    and other establishments for updating stmaps, working plan preparation, fomanagement, land use & other general plann

    The total geographic area of the countr

    covered by 5,200 Survey of India map sheets1:50,000 scale and of these about 3,400 shebear forest cover. Nearly 75% of the countforested area, as depicted in figure 6, has bthematically mapped. FSI library holds aro50,000 such thematic maps. Of late, the tasthematic mapping has decelerated becauseprocurement difficulties and non-availabilitythe latest aerial photographs on time. Moreov

    the demand of Thematic Maps from differSFDs and other organisation has declined othe years due to availability of high-resolutsatellite imageries which are now in demandthe SFDs and other organisations for preparaof land use maps.

    Fig. 6: Forest Area covered under

    Thematic MapsFig. 7: Thematic Map of BIhar

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    nventory of Forest & Trees Outside Forest

    Inventory of forest/tree resources

    Forests have acquired increasing importance in

    the recent past not only for their role in meetingthe material requirements but also for theirecological and environmental functions. Toensure sustainable development of our forestryresources, it is important to have accurate andup-to-date information/data on our forestresources. Some of the important parametersrequired by forest managers, planners and policymakers on forest resources are forest cover,growing stock, annual increment, speciescomposition, biomass, regeneration status,

    biodiversity, non-timber forest products etc. TheForest Survey of India (FSI) and its precursororganization, Pre Investment Survey of ForestResources (PISFR) has carried out forestinventories since 1965. So far about 80% of thecountrys forest areas have been inventoriedincluding some areas more than once and about140 reports have been published. Although, someof the parameters mentioned above are still tobe measured at the national level, FSI has beenable to give the distribution and volume of

    important tree species within and outside therecorded forest area. Moreover, other importantparameters like regeneration survey, distributionand volume of important species of bamboo willbe made available by FSI in the near future.

    Dense Sal Forest with Canopy Over 70%

    Besides forest resources, extensive trewealth exists outside continuous forested areasTermed as Trees Outside Forests (TOF), thes

    are in the form of small woodlots and blocplantations, trees along linear features, such aroads, canals bunds, etc. and scattered trees ofarmlands, homesteads, community lands anurban areas. They serve a number of economiand ecological functions and therefore require tbe managed in a planned and systematic mannerInventory of trees outside forest together witforest inventory, provides a complete picture otree/forest resources in the country. FSI habeen carrying out TOF assessments since earl

    1990s till 2001, but an accurate estimate at thnational level at a specific time frame was noavailable. It was only in SFR-2001 that a nationalevel estimate of tree cover was given for thentire country, which has now become a regulafeature of subsequent SFRs.

    TOF Block Plantation

    At present, FSI is also supplementing thusual field inventory with measurement oseveral other parameters for a comprehensivassessment of forest resources inside and outsidforest areas at the national level. During foresinventory, efforts are being made to collecadditional data to assess regeneration status

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    biodiversity indices and soil carbon in forestareas. Field data are being collected from sampleplots based on stratification of the country intophysiographic zones and a sample of 10 percentdistricts (or 60 districts) are taken in every cycle

    of 2 years for detailed inventory. Theinformation, thus generated, will form a part ofthe biennial State of Forest Report in future.These estimates will be further improved in thesubsequent reports as another set of districts aresampled and surveyed.

    The methodology for inventory of forests& trees outside forests carried out by FSI sincethe inception of the Tenth Five Year Plan is givenbelow.

    A. Forest Inventory

    The country is stratified into 14 physiographiczones according to tree species composition andother physiographic and ecological parameters.In strata, districts are considered first samplingunits and grids of size 1 X 1 as secondarysampling units. Ten percent of districts arebeing inventoried every cycle of 2 years.

    Measurement of Diameter using Callipers

    1:50,000 scale Survey of India toposheet isdivided into 36 grids of 2 x 2 ,further each are divided into 4 sub-grids of1 x 1 forming the basic samplingunits. Two of these sub-grids arerandomly selected and corresponding sub-grids in all the 2 x 2 grids are

    selected to form the sample. Thintersection of diagonals of such sub-gridare marked as center of plot on the mapAt the center of selected subgrid a plot o0.1 ha area is laid out in each such gri

    and data are collected from the plotfalling in forest area only. For collecting data on soil, forest floo

    (humus & litter carbon), sub-plots of 1m 1m are laid at each corner within the 0.ha plot.

    The data regarding herbs and shrub(including regeneration) are collectefrom four square plots of 1m x 1m and 3mx 3m respectively. These plots are laiout at 30 meters from the centre of 0.1 h

    plot in all four directions along diagonalin non-hilly area and along trails in hillareas.

    The data collected in the field is checked anentered by the zonal offices and sent to heaquarter for processing. At the head quarter, thdata received from the zones is again checkefor inconsistencies and data is rectified beforprocessing. Processing is carried out by using specially designed software for differen

    parameters such as area estimation, volumestimation, stand and stock tables, standarerror estimation etc.

    B. TOF (Rural)

    For assessment of rural TOF, methodology based on remote sensing is usewherein LISS and PAN of IRS P6 (Resourcesatscenes are used for identification anstratification of TOF resources in the selecte

    districts. The LISS and PAN scenes for thselected districts are procured from NRSAHyderabad. Toposheets for the selected districare identified and geo-referenced. Thestoposheets are then used to rectify panchromatidata. After rectification, these PAN data arused to rectify the multi-spectral LISS data. Thpanchromatic and multi-spectral data are the

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    fused together (fig 8) and a classified image (fig9) is prepared having three strata namely block,linear and scattered.

    Stratified random sampling is being

    employed for the survey. The country is stratifiedinto 14 physiographic zones and thephysiographic zones are strata and the district isa first stage-sampling unit. The district is furtherstratified into three strata namely, block, linearand scattered. The number and size of sampleplots under block, linear and scattered stratumhas been decided on the basis of a pilot studyand are given as follows:

    a) 35 square plots of 0.1-hectare size in blockstratum are randomly selected for eachdistrict.

    b) 50 rectangular plot of 10m x 125m of sizes inlinear stratum are selected for each district.

    c) 50 square plots of 3.0-hectare sizes inscattered stratum in plains and 95 plots of0.5 ha scattered stratum in hills are selectedfor each district.

    Note: It has been concluded from the studyconducted for determination of plot sizes andsample size for all the three strata that 35 plots

    in blocks and 50 and 50 plots for linear andscattered are to be surveyed in each district togenerate estimates at 15% permissible error or85% accuracy. However, some points may not betraceable on the ground or are inaccessible orstatus of points may not match with the stratumor fall in forest/ urban areas. To augment this,additional points needs to be surveyed. As such,field parties are given 50,60 and 60 plots forblocks, linear and scattered stratum respectivelyfor surveying. Field parties collect information

    for these plots indicating status of plot inappropriate column of the form.

    Desired number of sample points, asmentioned above, are randomly generated ineach stratum, separately and the data on predecided variables are collected on designedformats, following Manual for Assessment forTrees Outside Forests (FSI, 2003). Thereafter,

    data processing is carried out followinappropriate formulae corresponding to samplindesign to obtain total stems in different categorby species and dia class, number of stems peha., volume per ha species and dia class-wise

    total volume by species and dia class in differencategory and tree cover information.

    Fig 8 : Merged Image(IRS 1D PAN & IRS P6 LISS III)

    Fig 9 : Classified TOF Map

    C. TOF (urban)

    For assessment of urban TOF, the study area iconsidered as urban centers defined in districcensus book. Sampling frame for urban areas ha

    Block

    Linear

    Scattere

    Greenwa

    (masked

    Block

    Linear

    Scattere

    Greenwa

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    been prepared by an agency called NationalSample Survey Organisation (NSSO) under theMinistry of Statistics and ProgrammeImplementation, Government of India. Thisorganization conducts surveys by the name of

    Urban Frame Survey (UFS). They divide the wholeurban centers of a district in blocks called UFSblocks. These blocks are having clear-cut welldefined natural boundaries (fig 10). These blocksare formed on the basis of 600-800 population or120-160 households and cover the whole areawithin the geographical boundary of townincluding vacant lands.

    Fig 10 : A UFS Block Map used for TOF Urban

    The sampling technique, which is beingused, is stratified random sampling. The districtis divided into five categories of town based onpopulation, as strata. Urban Frame Survey Blocks(UFS Blocks) are the sampling units which areobtained from the National Sample SurveyOrganisation. The number of sample blocks to besurveyed in the district is to be decided by thefollowing method.(a) In the district 10 % of total blocks will be

    selected and proportionately distributed infive class of town when available UFS blocksin the districts are less than 500. Minimumnumber of blocks should not be less thantwenty in a district.

    (b) In the district 5 % of total blocks will bselected and proportionately distributed ifive class of town when available UFS blockin the districts are between 500 and 1000.

    (c) In the district 2.5 % of total blocks will bselected and proportionately distributed ifive class of town when available UFS blockin the districts are more than 1000. Maximumnumber of blocks should not be more tha60.

    After selecting the UFS blocks, data arcollected, entered and processed in the samway as it was done in case of ForesInventory/TOF Rural.

    Achievement during the year 2005-2006

    A total of 28 districts (List enclosed aAnnexure-II) were selected for completinventory of forest & TOF areas during 2005-0out of 60 districts for the period 2004-06. Zonwise details are given below:

    OneUFS

    Block

    Central Zone

    In Central Zone a total of eight district

    namely Akola, Barwani, Beed, Chindwara, DangsJabhua, Nasik and Ratnagiri were alloted foforest and TOF inventory. All the eight districthave been inventoried both for forest and TOFThe entered and checked data for all the eighdistricts has been received by Headquarter. Thdata checking and cleaning work is undeprogress.

    Eastern Zone

    During 2005-06, six districts namelBankura, Golpara, Gumla, Kodarma, Ribohi, anWest Kameng were alloted to Eastern Zone foforest and TOF inventory. All the six districthave been inventoried both for forest and TOFThe entered and checked data has been receivefor all the districts.

    Northern Zone

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    A total of eight districts namly Churu,Gautambudhnagar, Nanital, Pali, Rampur,Rohtak, Solan and Una were alloted to NorthernZone for forest & TOF inventory. All the eight

    districts have been inventoried both for forestand TOF. The entered and checked data for allthe eight districts has been received byHeadquarter. The data checking and cleaningwork is under progress.

    Southern Zone

    In Southern Zone a total of six districtsnamely Banglore (Rural), Coimbatore,Prakasam,Raichur, Thiruvarur and Tumkur were

    alloted for forest and TOF inventory. The forestinventory and TOF work for all the seven districtshas been completed and entered data has beenreceived by head quarter for processing.

    The data processing work is carried out ahead quarter. As per the revised methodology National Forest Inventory Database System(NFIDS) based on database software (MS Access

    using front end on Visual Basic has beeprepared. The data entry module for forest anTOF inventory has been prepared ansuccessfully installed in all the zonal offices. Thentered data from the respective zones are sento the headquarters at Dehradun for processinof data on forest and TOF. The data processinmodule for processing of forest and TOparameters like, total estimated stems, volumand per hectare figures under different specieand different diameter class has been developed

    In addition, estimates of total number of stemsstem per hectare and total growing stock foentire district are also produced using the sammodule. The processing modules for additionaparameters of forest resources such as bambooregeneration, soil carbon etc is under progress.Data Processing

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    Training

    Introduction

    Training unit of FSI has been impartingtraining to forestry personnel since 1981 with

    the objective of disseminating knowledge andinformation on the modern techniques beingemployed in forest survey. Forestry personnel ofvarious levels, working in the State ForestDepartments are provided training in variousdisciplines like, Application of Remote Sensing(RS) and GIS in Forestry, Application ofGeographical Information system (GIS) inpreparation of working plans, and Application ofGlobal Positioning Systems (GPS) in Forest Surveyand Demarcation, during in-house training

    courses of varying duration, organizedthroughout the year having a judicious mix oftheoretical and practical orientation. Till date,more than 2300 forestry personnel fromdifferent State Forest Departments have beentrained. Forest Survey of India conducts 10 to 12such courses on different themes every year.The Training Unit has imparted training to 2315

    forestry personnel till March 2006. The annuatarget for training personnel during 2005-06 was100 and against it till 31st March 2006, thetarget achieved was 189, which includes 51

    forestry personnel trained in the outreachtraining courses conducted for forestdepartments of Punjab and Andaman & NicobarIslands. In addition, the technical staff of FSI isalso trained frequently for refurbishing andupgradation of their technical skills to enablethem to keep pace with the rapid advancementsin this technology.

    During 2005-2006, FSI conducted threecourses of 2 week duration on RS/GIS Application

    for CF/DCF/ACF level officers, one course of 3weeks duration on Application of RS, GIS andInventory in Forestry to Range Forest Officers,four courses on GPS Application in ForestSurvey and Demarcation and 2 compulsorycourses for IFS officers. The training calendar forthe year 2005-2006 is depicted below in Table 6.

    Table 6 : Training Calendar for 2005-2006Theme No. of

    CourseLevel ofParticipants

    Duration(Weeks)

    May05

    June05

    July05

    Aug.05

    Sept.05

    Oct.05

    Nov.05

    Dec.05

    Jan.06

    F0

    Application of RemoteSensing and GIS inForestry

    2 IFS 1 9-13 19-23

    Application of GIS inForest ResourceManagement

    3 DCF/ACF 2 4-15 16-26 9-20

    Application of GIS andInventory in Forestry

    1 RFO 3 5-23

    1 CF/DCF 1 3-7GPS Application inForest Survey andDemarcation 3 ACF/RFO 1 6-10 21-25 6

    One-week compulsory training for IFS officers

    Two compulsory courses of one weekduration each on Application of Remote Sensing &GIS in Forestry for IFS officers were conducted byForest Survey of India from 9th to 13th May 2005and 19th to 23rd September 2005 respectively.This short duration (one week) course is aimed atsensitization of IFS officers towards theapplication of Remote Sensing, GIS and GPS in

    forestry. Fourteen participants from 10 Sta

    participated in the first course and Twenty oparticipants from 12 States participated in tsecond course.

    During the course basic concepts of RemoSensing & GIS were dealt with in detail. Practisessions on the interpretation of satellite imagewere conducted with the object to expose tparticipants to the procedural aspects. T

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    application of these technologies in forestry wasdemonstrated through suitable case studiesrelated to habitat/biodiversity mapping, WorkingPlan preparation, fire risk zonation etc. Inaddition to the above, demonstration on use of

    hand held GPS was also given. A panel discussionon latest advancements in application of remotesensing, GIS & GPS in forestry was organized onthe last day.

    Participants of IFS Compulsory Training at FSI

    GIS training on ArcGIS software

    ArcGIS desktop includes a suite ofintegrated applications: ArcMap, ArcCatalog andArcToolbox, using which one can perform any GIStask, simple to advanced, including mapping, datamanagement, geographic analysis, data editingand geoprocessing.

    FSI has already developed a training modelon ArcGIS 9.1 Software for imparting training toforestry personnel from various SFDs in GIScourses. This training was earlier imparted on

    Geomedia professional software, however, onrequests from a number of States, the abovemodule on ArcGIS Software was prepared and thefirst batch of officers were trained in GIS onArcGIS Software from August, 2005. It is expectedthat this training module will be very useful forthe DCFs/ACFs & ROs engaged in preparation ofworking plans.

    Outreach Training Programmes

    Besides in-house training courses, FSI aconducts training courses designed to meet tspecific demand of various State For

    Departments at their place of choice of locatand duration. This year 27 personnel of the PunjForest Department were imparted training outwhich 18 officers were trained in a four-day couorganized at Hoshiarpur from 16-19th Nov 2005 GPS Application in Forest Survey aDemarcation, and 9 officers were imparttraining on Application of GIS in Forest ResourManagement organized at FSI, Dehradun from 24th Feb 2006. In addition, 24 officers from A &Islands were imparted training on GPS Applicat

    in Forest Survey and Demarcation in a 3-dcourse organized at Port Blair from 6-8th Mar 200

    Training at A&N Island Forest Department

    Training during 2006-07

    During 2006-07 it is proposed to organize in-house training courses for 100 forespersonnel including one compulsory training couon Application of Remote Sensing & GIS Forestry and one two-day workshop on Remo

    sensing, GIS and GPS in the preparation of WorkPlan: Strategy for implementation for IFS officin addition to organizing training courses on tspecific request of the SFDs at their choice location and duration, catering specifically to thneeds. Apart from increasing the number training courses on GIS and GPS, an advanccourse on Application of GIS in Forest ResourAssessment will also be introduced.

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    Extension

    Introduction

    Extension unit of Forest Survey of India isresponsible for showcasing the activities of FSI tousers, stake holders and others. In Forest Survey

    of India, Extension Unit is engaged in printing andpublication of State of Forest Reports, InventoryReports, Reports of Several Projects, QuarterlyNews letters, Training Calendar, Annual Reportand other informative material including VanDarpan in Hindi. Publicity and Liason Work,conducting Workshops/ Conferences/ Seminars;organizing visits of officers, trainees anddignitaries from different organizations of nationaland international importance also form a part ofthe extension activities of Forest Survey of India.

    Library

    The Library in Forest Survey of Indiaconsists of around 5500 books on diversifiedmodern subjects ranging from the fields of RemoteSensing, G.I.S. (Geographic Information System),D.I.P (Digital Image Processing), Forestry andComputer applications in forestry. During 2005-06, 79 books on subjects mentioned above and 47books on Hindi were procured to enrich the library

    on modern digital Image Processing & GIS

    Techniques and to promote the use of Hindi Forest Survey of India.

    Apart from books on diversified subjecthe Photo Library of Forest Survey of India h

    around three lakhs aerial photographs on varyscales (1:10,000 to 1:50,000) of different kinds B&W (Black & White); B&W (Panchromatic); (Infra Red) & False colour. The Map Libraryalso stocked with thematic maps of a wide ranof selected areas of the country on 1:50,000 scaprepared on the basis of interpretation of Blackwhite aerial photographs of multi seasons.

    In addition, the Map Library is equippwith a wide range of collection of topo graphi

    sheets of Survey of India on 1:25,000, 1:50,001:250,000 and 1:1 M scales of de-restricted arestricted areas of the country. Map Library aincludes a large series of vegetation maps 1:250,000 and 1:50,000 scale prepared on tbasis of Visual Interpretation of hard copies of M(Multi spectral Scanner); TM (Thematic MappeIRS-1 B LISS II (Indian Remote Sensing Satellite Linear Imaging and Self Scanning Sensor II) aIRS-IC /ID LISS III (Indian Remote Sensing SatellitIC/1D Linear Imaging and Self Scanning Sensor

    for the entire country.